Agents that earn their autonomy.

It will, sometimes, so we design for it. Facts come from your systems, not from the model's memory, and every conclusion the agent acts on links to the record behind it. Limits, tolerances, and approval rules run as code, and every proposed write is checked against them before anything changes. When data is missing, records conflict, or an amount is over your limit, the run pauses and goes to a named person with the evidence. Nothing launches until it passes a test you approved, built from your own past cases, including the awkward ones. Every run is recorded, so a mistake found in production can be traced to the exact step, fixed, and added to the test set, and every later release is checked against it.

Not through Nijora. The agent runs in your cloud account, under your identity and access controls, and reads your systems through service accounts you issue. Model calls go only to providers you approve, through your own accounts or endpoints, under terms that exclude training on your data. If a workflow can't send data to an external provider at all, we can run open-weight models inside your network. Run records go to your own logging stack (over OpenTelemetry, if you use it) and stay there under your retention policy, with personal data masked where you require it. Test sets built from past cases stay in your environment too. We work in your environment only with credentials you grant and can revoke, and we keep no copies of your data after the engagement.

Scoping is a fixed fee. The build is fixed-scope and fixed-price, agreed in writing after scoping, once we both know the workflow, the systems, and the pass bar. After launch, you pay your own cloud and model usage, which the run record shows for every completed case. If we run the agent for you, there's also a monthly fee, agreed up front. The business case runs on your numbers, not ours: scoping records the workflow's volume, handling time, and error rate, and from the shadow phase on we measure time and cost per case against that baseline. If the numbers don't work during scoping, we'll tell you before you pay for a build.

Some, mostly at the start, and we'll be specific about it up front. We need a cloud account or project to deploy into, read-only service accounts for each system involved, a security contact for the architecture review, and someone to review infrastructure changes and grant access to your CI/CD. A subject-matter expert spends a few hours a week labeling cases and reviewing shadow results. We connect through the APIs your systems already expose, so there's nothing to replace or migrate. Where a system has no usable API, we lay out the options and what each costs in reliability before choosing one, or leave that step with a person.

The agent takes its test again. Model versions are pinned in configuration, so nothing changes underneath you without a release. When a provider ships a new version or announces a retirement, we run the full test suite against the candidates, compare quality, cost, and speed, and switch only to one that clears the bar you approved. You see the results before the change ships, and the previous version stays one rollback away. We don't resell any model, so the choice rests on your test results alone.

You do. Code, prompts, policies, test sets, infrastructure code, dashboards, and runbooks are written into your repositories from the first commit and assigned to you under the contract. There's no proprietary Nijora runtime and no license fee to keep the agent running. If we part ways, your team, or anyone you choose, can pick it up from the repositories and the runbooks.

We plan a first workflow in three phases: scoping (one to two weeks), build (three to six weeks), and shadow (two to four weeks), when the agent works live cases without writing anything. It starts acting when it clears the bar you signed and you approve the go-live, not when a date on a plan says so. Getting access to systems can be the slowest part, so we request service accounts during scoping. If a project is trending late, you'll hear it from us early, with the reason.

Your choice. In a Build and run engagement, a named Nijora engineer owns the agent in production: monitoring and alerts on quality, cost, and drift; a full test re-run on every model, prompt, or system change; fixes when an upstream API changes; and a monthly review of exceptions and limits with you. In a Build and hand over engagement, your team takes it on with the runbooks, dashboards, and full test suite, after a working session on each runbook, and we stay available through an agreed transition period. Either way, you can stop any agent, or drop it to read-only, in one step without calling us.